What are the main challenges in monitoring AI systems?

What are the main challenges in monitoring AI systems?

Some key challenges include data privacy, model drift, and ensuring transparency in decision-making.

Can you explain what model drift is?

Model drift occurs when the statistical properties of the target variable change over time, affecting model performance.

How can we mitigate the effects of model drift?

Regularly retraining models with new data and implementing monitoring systems can help mitigate model drift.

What role does data privacy play in monitoring?

Data privacy is crucial as it involves protecting sensitive information while ensuring compliance with regulations.